5210.21.80.90 - Cheesecloth; lawns, voiles or batistes (226)
Details
| Field | Value |
|---|---|
| Unit of Quantity | m², kg |
| General Rate of Duty | 12.5% |
| Special Rate of Duty | Free (AU,BH,CL,CO,IL,JO,KR,MA,OM,P,PA,PE,S,SG)
AU
🇦🇺
BH
🇧ðŸ‡
CL
🇨🇱
CO
🇨🇴
IL
🇮🇱
JO
🇯🇴
KR
🇰🇷
MA
🇲🇦
OM
🇴🇲
P
🇨🇷
🇩🇴
🇸🇻
🇬🇹
ðŸ‡ðŸ‡³
🇳🇮
PA
🇵🇦
PE
🇵🇪
S
🇨🇦
🇲🇽
SG
🇸🇬
|
| Column 2 Rate of Duty | 40.5% |
| Quota Quantity | N/A |
| Additional Duties | N/A |
Overview
This HTS classification covers specific types of woven cotton fabrics that are bleached and exhibit a plain weave construction. These fabrics contain less than 85 percent cotton by weight, with the remaining significant portion being man-made fibers, and do not exceed a weight of 200 grams per square meter. The "cheesecloth; lawns, voiles or batistes" descriptor highlights particular fabric constructions that fall under this heading, often characterized by their lightweight, open weave, and smooth finish. These are typically used in applications where a fine, delicate fabric is required, such as in apparel, home furnishings, or specialized industrial uses.
Distinguishing this category from its sibling, 5210.21.80.20 (Poplin or broadcloth), is crucial. While both fall under bleached, plain weave cotton fabrics under 200 g/m² and mixed with man-made fibers, poplin and broadcloth are generally denser and more tightly woven fabrics, often used for shirting and other durable apparel. In contrast, cheesecloth, lawns, voiles, and batistes are typically more open, sheer, and lightweight, indicating a different weave structure and end-use.
As this is a leaf node, there are no further subcategories. Therefore, classification under 5210.21.80.90 relies on the precise identification of the fabric as one of the types specified (cheesecloth, lawns, voiles, or batistes) and adherence to the overarching criteria of cotton content, weight, bleaching status, and weave type as defined in the parent categories. Exporters and importers should carefully examine the fabric's construction and composition to ensure accurate classification.